A System Level Study on LDM for Mixed Broadcast-Broadband Service Delivery in 5G
Bibliographic record
Abstract
The vision of the future 5 G - Multicast Broadcast Services (5 G -MBS) is to achieve full convergence of broadcast and broadband services by providing these services on the same infrastructure and dynamically switching between them without impacting user experiences. Using Layered Division Multiplexing (LDM) and a novel antenna precoding system, the 5 G MIMO antenna can seamlessly combine wide coverage broadcast service and narrow-beam MIMO broadband service to improve spectrum efficiency. The LDM network can transmit a 2-layered signal where the higher power Core Layer (CL) transmits a Single Frequency Network (SFN) broadcast signal, and the lower power Enhanced Layer (EL) is used for broadband services. Full simulations of the 2-layered network using 3GPP self-evaluation Dense Urban - eMBB and Rural-eMBB reference scenarios show in both cases, the CL can provide three 4 k video streaming services while supporting full broadband services in the EL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".